spectral-unmixing

List of resources for mineral exploration and machine learning, generally with useful code and examples.

Remote Sensing Data Analysis in R 🛰

Spectral endmembers and unmixing tools for satellite land cover mapping.

Processing of HSIs: spectral unmixing and classification.

[ICCV 2025] UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields

MLNMF: Multilayer Nonnegative Matrix Factorization

Pipeline for remotely sensed imagery. The pipeline processes satellite imagery alongside auxiliary data in multiple steps to arrive at a set of trend files related to land-cover changes.

This toolbox allows the implementation of the Diffusion and Volume maximization-based Image Clustering algorithm for unsupervised hyperspectral image clustering. See "README.md" for more information. Copyright: Sam L. Polk, 2023.

Data and MATLAB code for the simulations of [R. Arablouei, “Spectral unmixing with perturbed endmembers,” submitted to the IEEE Transactions on Geoscience and Remote Sensing, 2017.]

Decoding and analysis software for MRBLEs (Microspheres with Ratiometric Barcode Lanthanide Encoding).

Analysis of the reflectance spectra from paintings: classification and endmembers.

Plate-forme Python modulaire pour l’analyse et le démélange spectral semi-supervisé d’images hyperspectrales HySpex (jeu de données DLR HySU). Elle combine : un pipeline NMF pour extraire endmembers + abondances ; un VAE convolutionnel semi-supervisé pour la classification de patchs ; des outils de pré-traitement et visualisation (RMSE, SAD, SID

Open detection of engineered biosignatures in remote hyperspectral imagery. Funded by the Hyperspectral Biology grant (Experiment Foundation). MIT.

Classifying the materials of individual pixels taken by satellite using Spectral Unmixing and Pixel Classification.

A Python package for spectral bleed-through correction in microscopy image stacks

Legacy weighted SIMPLISMA (pure) for selecting pure variables in multivariate datasets.

compare two-point UV/Vis spectroscopy read-out with spectral unmixing

It is possible to predict the spectrum of e.g. a nucleobase in a nucleoside-nucleobase conversion.

Spectral-temporal fluorescence unmixing for FLIMKit, in the style of MuFLE

A high resolution tool for snow cover reconstruction studies